PhotoniX, Volume. 3, Issue 1, 30(2022)

Multi-focus light-field microscopy for high-speed large-volume imaging

Yi Zhang1,2, Yuling Wang1,2, Mingrui Wang2,3,4,5, Yuduo Guo2,3,4, Xinyang Li1,2,3,6, Yifan Chen1,2, Zhi Lu1,2, Jiamin Wu1,2,4,5、*,*,*, Xiangyang Ji1,2, and Qionghai Dai1,2,4,5
Author Affiliations
  • 1Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing National Research Center for Information Science and Technology, Beijing 100084, China
  • 2Institute for Brain and Cognitive Sciences, Tsinghua University, Tsinghua University, Beijing 100084, China
  • 3Tsinghua Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen 518055, China
  • 4Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography (MMCP), Tsinghua University, Tsinghua University, Beijing 100084, China
  • 5IDG/McGovern Institute for Brain Research, Tsinghua University, Tsinghua University Beijing, China
  • 6Hangzhou Zhuoxi Institute of Brain and Intelligence, Hangzhou, Hangzhou 311100, China
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    High-speed visualization of three-dimensional (3D) processes across a large field of view with cellular resolution is essential for understanding living systems. Light-field microscopy (LFM) has emerged as a powerful tool for fast volumetric imaging. However, one inherent limitation of LFM is that the achievable lateral resolution degrades rapidly with the increase of the distance from the focal plane, which hinders the applications in observing thick samples. Here, we propose Spherical-Aberration-assisted scanning LFM (SAsLFM), a hardware-modification-free method that modulates the phase-space point-spread-functions (PSFs) to extend the effective high-resolution range along the z-axis by ~ 3 times. By transferring the foci to different depths, we take full advantage of the redundant light-field data to preserve finer details over an extended depth range and reduce artifacts near the original focal plane. Experiments on a USAF-resolution chart and zebrafish vasculatures were conducted to verify the effectiveness of the method. We further investigated the capability of SAsLFM in dynamic samples by imaging large-scale calcium transients in the mouse brain, tracking freely-moving jellyfish, and recording the development of Drosophila embryos. In addition, combined with deep-learning approaches, we accelerated the three-dimensional reconstruction of SAsLFM by three orders of magnitude. Our method is compatible with various phase-space imaging techniques without increasing system complexity and can facilitate high-speed large-scale volumetric imaging in thick samples.


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    Yi Zhang, Yuling Wang, Mingrui Wang, Yuduo Guo, Xinyang Li, Yifan Chen, Zhi Lu, Jiamin Wu, Xiangyang Ji, Qionghai Dai. Multi-focus light-field microscopy for high-speed large-volume imaging[J]. PhotoniX, 2022, 3(1): 30

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    Paper Information

    Category: Research Articles

    Received: Aug. 14, 2022

    Accepted: Nov. 14, 2022

    Published Online: Jul. 10, 2023

    The Author Email: Wu Jiamin (



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